David E. Seyler

725 citations
14 papers · 632 · h-index 10

Impact in

Papers in

David E. Seyler

12 papers receiving 597 citations

Peers

David E. Seyler
Comparison fields: 5 of 81
  • Reproductive Medicine 292
  • Health, Toxicology and Mutagenesis 116
  • Public Health, Environmental and Occupational Health 172
  • Physiology 20
  • Endocrinology, Diabetes and Metabolism 65
Replace P.D.C. Brown-Woodman with:
P.D.C. Brown-Woodman Australia
Prabhat Kumar Samanta India
Tung‐Yang Wing United States
Małgorzata Grzesiak Poland
Céline Zimmermann Switzerland
Renata Walczak-Jędrzejowska Poland
Camille Bois France
Kar Ab
Seyed Gholam Ali Jorsaraei Iran
Priyanka Parte India
David E. Seyler relative to P.D.C. Brown-Woodman Australia P.D.C. Brown-Woodman's profile →
Citations per field
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P.D.C. Brown-Woodman · 1×
Citations per year

Countries citing papers authored by David E. Seyler

Since Specialization
Citations

This map shows the geographic impact of David E. Seyler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David E. Seyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Seyler more than expected).

Fields of papers citing papers by David E. Seyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Seyler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David E. Seyler. The network helps show where David E. Seyler may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Seyler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David E. Seyler Line = papers co-authored together David E. Seyler links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996346
2 198681
3 198353
4 197939
5 198328
6 199520
7 201618
8 199414
9 200012
10
Effect of calcium-modifying drugs on mouse in vitro fertilization and preimplantation development.
19909
11 19846
12 19825
13 19831
14 19940

About David E. Seyler

David E. Seyler is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, Surgery and Molecular Biology, having authored 14 papers that have together received 632 indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Pain Mechanisms and Treatments (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (292 citations), Health, Toxicology and Mutagenesis (116 citations), Public Health, Environmental and Occupational Health (172 citations), Physiology (20 citations) and Endocrinology, Diabetes and Metabolism (65 citations). David E. Seyler has collaborated with scholars based in United States and France. Frequent co-authors include Robert E. Chapin, Lori A. Dostal, Sally D. Perreault, Robert L. Sprando, Susan L. Makris, L. David Wise, Gary Klinefelter, R.H. Foote, Jennifer Seed and Kimberley A. Treinen. Their work appears in journals such as Reproductive Toxicology, Contraception, Reproduction, Toxicology Letters and Toxicological Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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